Variation in hospital mortality rates with inpatient cancer surgery
- PMID: 24743604
- PMCID: PMC4634527
- DOI: 10.1097/SLA.0000000000000690
Variation in hospital mortality rates with inpatient cancer surgery
Abstract
Objective: To elucidate clinical mechanisms underlying variation in hospital mortality after cancer surgery
Background: : Thousands of Americans die every year undergoing elective cancer surgery. Wide variation in hospital mortality rates suggest opportunities for improvement, but these efforts are limited by uncertainty about why some hospitals have poorer outcomes than others.
Methods: Using data from the 2006-2007 National Cancer Data Base, we ranked 1279 hospitals according to a composite measure of perioperative mortality after operations for bladder, esophagus, colon, lung, pancreas, and stomach cancers. We then conducted detailed medical record review of 5632 patients at 1 of 19 hospitals with low mortality rates (2.1%) or 30 hospitals with high mortality rates (9.1%). Hierarchical logistic regression analyses were used to compare risk-adjusted complication incidence and case-fatality rates among patients experiencing serious complications.
Results: The 7.0% absolute mortality difference between the 2 hospital groups could be attributed to higher mortality from surgical site, pulmonary, thromboembolic, and other complications. The overall incidence of complications was not different between hospital groups [21.2% vs 17.8%; adjusted odds ratio (OR) = 1.34, 95% confidence interval (CI): 0.93-1.94]. In contrast, case-fatality after complications was more than threefold higher at high mortality hospitals than at low mortality hospitals (25.9% vs 13.6%; adjusted OR = 3.23, 95% CI: 1.56-6.69).
Conclusions: Low mortality and high mortality hospitals are distinguished less by their complication rates than by how frequently patients die after a complication. Strategies for ensuring the timely recognition and effective management of postoperative complications will be essential in reducing mortality after cancer surgery.
Conflict of interest statement
Disclosures:
Dr. John Birkmeyer has a financial interest in ArborMetrix, Inc., a clinical analytics company focused on hospital- and specialty-based care. The company was not involved with the study herein in any way.
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References
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- HCUP Nationwide Inpatient Sample (NIS) Healthcare Cost and Utilization Project (HCUP) Agency for Healthcare Research and Quality; Rockville, MD: 2007–2009. (Accessed June 28, 2013 at www.hcup-us.ahrq.gov/nisoverview.jsp)
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- Ghaferi AA, Birkmeyer JD, Dimick Variation in hospital mortality associated with inpatient surgery. N Engl J Med. 2009;361:1368–1375. - PubMed
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- National Cancer DataBase homepage. (Accessed June 28, 2103 at http://www.facs.org/cancer/ncdb/)
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- Dimick JB, Staiger DO, Baser O, Birkmeyer JD. Composite measures for predicting surgical mortality in the hospital. Health Aff. 2009;28:1189–1198. - PubMed
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